Most load-testing tools give you raw numbers. AccessLoad gives you answers.
Run distributed, multi-worker load tests from a simple input — URL, user count, duration — and receive live performance dashboards, AI-powered bottleneck analysis, and detailed evidence reports. No complex scripting. No infrastructure headaches. And when required, nothing leaves your environment.
Heavy scripting, ambiguous output, and cloud-only infrastructure push performance testing out of the release cadence.
Most platforms demand engineers spend days writing and maintaining test scripts before a single test runs — delaying releases and discouraging performance validation altogether.
You get graphs of response times and error rates, but no clear answer to "what actually broke, and why?" — leaving engineering teams to reverse-engineer bottlenecks manually.
Many platforms require opening inbound firewall ports or routing production traffic through third-party servers — unacceptable for regulated industries and enterprise security teams.
Share a base URL and choose how the test should be built — define endpoints manually, let our crawler discover your site structure, or record a real user flow directly from the browser. AccessLoad handles the rest.
Tests run across multiple workers in parallel, with load automatically distributed based on capacity. If a worker fails mid-test, load redistributes instantly — no manual intervention, no restart.
Every test concludes with an AI-generated report that goes beyond metrics — identifying bottlenecks, correlating errors with resource spikes, and offering clear remediation guidance in plain language.
For enterprises, workers deploy directly inside your own cloud environment with outbound-only communication. No inbound ports. No data exposure. No traffic leaving your perimeter. Full control.
Validate how your application behaves under expected, peak, and breaking-point loads — with configurable user counts, ramp-up patterns, and test durations.
Define endpoints manually, let the crawler discover your site structure automatically, or record real user flows directly from the browser — whichever fits your workflow.
Watch transactions per second, p95 response times, error rates, and worker health in real time — throughout the entire test run.
Complete HTML and PDF reports with performance graphs, bottleneck analysis, and AI-written executive summaries — ready for engineering, leadership, and compliance.
For regulated industries, run the entire testing infrastructure inside your own cloud — with secure, outbound-only communication back to the controller.
Trigger load tests on a cadence — pre-release, post-deploy, or continuously — and watch regressions land before users do.
Provide a URL, target user count, test duration, and ramp-up time. Choose your test-creation mode — manual, crawl, or recorded flow.
The platform automatically generates the test plan, calculates the number of workers needed based on your load target, and queues the run across distributed infrastructure.
Monitor the test in real time through a live dashboard — throughput, response times, error rates, and resource utilisation, all updating as the test progresses.
At completion, receive a full HTML / PDF report with graphs, data, and AI-generated performance insights highlighting bottlenecks and recommended fixes.
Identify slow endpoints, database saturation, and scaling limits before they reach production and impact real customers.
AI-generated insights pinpoint the "why" behind failures, so teams fix the right problem the first time — not the symptoms.
With BYOC deployment, your data, URLs, and traffic patterns never leave your environment — meeting the strictest data residency requirements.
We'll run a sample test and send you a complete evidence-based performance report — with live metrics and AI-generated insights — directly to your inbox.